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Aakash Gupta Profile picture
@aakashg0
Oct 10, 2021 • 6 tweets • 4 min read • Read on X
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The archetypal product growth examples are outdated

Dropbox is not growing that fast anymore. Uber, Docusign, and Zoom are growing a lot through sales & marketing as well

Product rockets 🚀, a 🧵 Image
Every product person has heard it in their job: X competitor has released X feature. We should too!

But how do we know what companies are actually growing through product NOW?

I propose revenue growth rate & product : sales & marketing spend as two metrics. Image
So, I got together companies:
- Most written about: Airbnb, Ube, & Dropbox
- Buzzy growers: Robinhood, Atlassian, Snowflake, Square & Shopify
- Focused mid-caps: Snap, Datadog, Docusign, Servicenow & Zoom
- Mega-caps: Alibaba, Microsoft, Google & Facebook
- The original: PayPal Image
The results look pretty good!

The top companies seem to have released a ton of features recently to drive product growth

@RobinhoodApp, @Snapchat, @Airbnb, @datadoghq, @Facebook Image
I would contend THESE are the companies that founders and product managers should be paying attention to. Not XYZ splashy competitor. To build growth into our products, these are the companies we can look to, to see how they did it.

These are the Teslas in your industry. Image
Founders, product managers, and product designers & engineers need a way to identify companies that are actually growing through product NOW

Check out the post for all the details:
aakashg.com/2021/10/10/pro…

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More from @aakashg0

Aakash Gupta Profile picture
Jun 26
Jira Product Discovery (JPD) just launched their biggest update yet.

It will take them from 18K → 36K customers.

Here’s why I think so: Image
1. From Teams → Teams of Teams

I covered Jira Product Discovery (JPD) earlier this year.

They were really good for a product team.

Now, with this month’s launch of Premium, they are really good for multiple product teams.

This is a huge unlock…
2. The Lack of Standardization Problem

For a Head of Product or CPO that has multiple things they are taking care of, it’s hard to get a central view of everything.

Everyone has a slightly different roadmap template.

JPD allows you to centralize all of that!
Read 9 tweets
Aakash Gupta Profile picture
Apr 21
AI prototyping has changed what it means to be a PM, designer, and engineer in forward-thinking organizations.

Here's how: Image
The Old Way

Here’s what most product development lifecycles look like:

1. Ideation

Most teams barely prototype at the idea stage.

A rare few exceptional designers and PMs do (~5%)
2. Planning

Here, more teams use prototypes, but it still is an exception few (~15%), while sketches and mockups are much more common (>75%)

3. Discovery

In more empowered companies, many teams would test prototypes in the discovery phase (~50%)
Read 10 tweets
Aakash Gupta Profile picture
Apr 17
OpenAI released that there will be 5 levels of AGI.

If you want to build the future of AI, you should deeply understand it.

We are just crossing step 2 of 5 to AGI.

Yet, somehow, teams are still building like we are in levels 1 or 3.

Let me explain: Image
LEVEL 1: CONVERSATIONAL AI

Remember those awkward chatbots from 2019?

They sounded human...until they didn’t.

You’d ask for help…
They’d return gibberish.
That’s Level 1.

Might be useful but it can't be your strategic moat.
LEVEL 2: REASONING AI

This is where we are right now and it’s the real unlock.

Today’s top models (like GPT-4.1, released this week) can:

→ Break down complex problems
→ Think like PhDs
→ Make sense of ambiguity
→ Power analytics, personalization & decision support
Read 7 tweets
Aakash Gupta Profile picture
Feb 24
I've seen my fair share of product development processes.

JPD's approach stands out as particularly principled and well thought out.

Here are the five most important things about how they build product: Image
𝗙𝗮𝗰𝗲𝘁 𝗢𝗻𝗲 - 𝗧𝗵𝗲 𝗟𝗶𝗴𝗵𝘁𝗵𝗼𝘂𝘀𝗲 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆

As Catalin Bridinel, Head of Design, explains:

"The product is a ship, and the user is a lighthouse that gives you direction."

This is more than a cute metaphor - it's a fundamental operating principle.
It manifested, for instance, in the early access program stages:

Step 1 - Deep dive with 10 carefully selected customers
Step 2 - Expand to 100 customers for broader validation
Step 3 - Then 1000 and GA

And it does in a million little other ways.
Read 13 tweets
Aakash Gupta Profile picture
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets
Aakash Gupta Profile picture
Jan 26
We’ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI won’t replace PMs.

But PMs who use AI will replace PMs who don’t.

You don’t even need to learn coding to join the AI revolution.

There’s one archetype taking over in organizations right now: the AI-powered PM.

Here are the top 5 ways AI-powered PMs are changing the game: Image
USE CASE ONE - PRDs

Last month, I shadowed a PM at a FAANG company.

Their first AI prompt? Beautiful but completely wrong.

So how you use it matter more than just using it to write PRDs.

Here’s the game-changing mega-prompt that fixed it:
Read 13 tweets

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